Applying Decision Analysis to Redefine Software as a Service (SAAS) Product Development: A Case of Supply Chain Management Software in a Startup Company
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 07
Abstract
This study investigates the urgent need for effective decision analysis in developing supply chain management software for a startup in Indonesia’s rapidly evolving technological landscape. Given Indonesia’s aim to leverage technology for economic growth and the significant role of MSMEs, addressing the challenges these businesses face in adopting digital solutions is crucial. MSMEs contribute 61% of Indonesia’s GDP and employ 97% of the workforce, yet only a small fraction has embraced digital technologies.The research employs a mixed-method approach, combining qualitative and quantitative analyses to comprehensively understand the company’s market position and customer needs. Secondary data, including Five’s Porter Force and ideal customer profile, and primary data are used for the SMART analysis. This comprehensive analysis provides a detailed view of the business environment and customer needs. By analyzing these factors, the company aims to develop a scalable product that addresses the specific needs of SMEs in Indonesia, focusing on efficient supply chain management software and seamless system integration. The findings underscore the importance of a structured approach to product development, using frameworks like SMART to prioritize features based on customer preferences and business goals. The study recommends strategies for the company to navigate the competitive landscape, enhance its technological offerings, and priority in development. To sum up, this research aims to change the priority of supply chain management software from project-based to a software-as-a-service solution. According to the simple multi-attribute rating technique (SMART) calculation, inventory management became the top priority, ahead of order management, point of sales, and warehouse management.
Authors and Affiliations
Husein Indra Kusuma, Eko Agus Prasetio,
Keywords
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- EP ID EP740959
- DOI 10.47191/ijcsrr/V7-i7-73
- Views 29
- Downloads 0
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